Think Circuits is a boutique consultancy and design services firm specializing in realizing proof-of-concepts for small startups. It was founded by a PhD scientist, formerly EECS PhD from the University of California Berkeley and possessing over 10 years of industry expertise in addressing challenges related to robotics, signal processing, and embedded systems. Attaining specific product or customer objectives necessitates a comprehensive and methodical approach. We excel at breaking down these objectives into manageable and uncomplicated sub-goals. Depending on the requirements, whether it involves developing a data-intensive python script or low-level C coding, we proficiently utilize the necessary tools to deliver optimal solutions.
External link for Think Circuits Engineers
8000 Edgewater Dr
Ste 200
Oakland, California 94621, US
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0 to 1 builder developing applied and theoretical ML algorithms on hardware, deployed at scale.
Inventing novel fire-detecting sensors with Kaung Si Thu and Michael Pihulic this weekend! Look for Think Circuits Engineers at VERGE 2024 XPRIZE Solutions Showcase on October 29 in San Jose where we'll be presenting the latest on our efforts to solve destructive wildfires. #xprize
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Exciting news! Think Circuits has qualified for the XPRIZE Wildfire competition! Over the next two years, we’re diving into a challenge that demands grit and groundbreaking innovation to put an end to devastating wildfires. Our cutting-edge solution harnesses the latest in enabling technologies, from drone commoditization and satellite advancements to multimodal language models. We're addressing this critical threat to protect our communities. Our team of electrical engineers, AI experts, and ML specialists is hard at work developing novel technologies to tackle this problem head-on. Stay tuned for updates on our journey, and reach out to us at contact@tcircuits.com to learn more or get involved. Follow us on this thrilling adventure! #xprize https://lnkd.in/ek9QUPwt
Exciting news! Think Circuits has qualified for the XPRIZE Wildfire competition! Over the next two years, we’re diving into a challenge that demands grit and groundbreaking innovation to put an end to devastating wildfires. Our cutting-edge solution harnesses the latest in enabling technologies, from drone commoditization and satellite advancements to multimodal language models. We're addressing this critical threat to protect our communities. Our team of electrical engineers, AI experts, and ML specialists is hard at work developing novel technologies to tackle this problem head-on. Stay tuned for updates on our journey, and reach out to us at contact@tcircuits.com to learn more or get involved. Follow us on this thrilling adventure! #xprize https://lnkd.in/ek9QUPwt
Think Circuits Engineers reposted this
Think Circuits welcomes Michael Pihulic to the team as a staff systems engineer! In addition to holding masters degrees from both MIT and Stanford, Michael brings 20 years of experience in product design and development from concept to mass-production. Michael is a seasoned systems engineer with experience in digital and hardware product development in the medical space and decades of industry experience. As part of a startup, he helped bring to market one of the world's first wireless patient monitoring systems, LEAF, for pressure injury prevention and designed and developed the algorithms and platform used to monitor performance. Using data collected by the LEAF system as part of a randomized clinical trial, he coauthored one of the first papers demonstrating quantitatively that turning can reduce the incidence of pressure injuries. Prior to working in medical devices, he worked as an environmental engineer designing and developing systems to remediate groundwater. Michael holds degrees in CEE from both MIT and Stanford.
Think Circuits welcomes Michael Pihulic to the team as a staff systems engineer! In addition to holding masters degrees from both MIT and Stanford, Michael brings 20 years of experience in product design and development from concept to mass-production. Michael is a seasoned systems engineer with experience in digital and hardware product development in the medical space and decades of industry experience. As part of a startup, he helped bring to market one of the world's first wireless patient monitoring systems, LEAF, for pressure injury prevention and designed and developed the algorithms and platform used to monitor performance. Using data collected by the LEAF system as part of a randomized clinical trial, he coauthored one of the first papers demonstrating quantitatively that turning can reduce the incidence of pressure injuries. Prior to working in medical devices, he worked as an environmental engineer designing and developing systems to remediate groundwater. Michael holds degrees in CEE from both MIT and Stanford.
Think Circuits Engineers reposted this
0 to 1 builder developing applied and theoretical ML algorithms on hardware, deployed at scale.
Attending Embedded Vision Summit by Edge AI and Vision Alliance May 21-23 in San Jose! Looking forward to learning more about the latest advancements in edge AI technology and applications. If you're also attending, let's connect in-person! Check out the event website for more information: https://lnkd.in/gEybU2JJ
Think Circuits is thrilled to welcome Professor David Burnett as an advisor! David bolsters our electrical and radio frequency engineering capabilities as an influential contributor to wireless sensor networks, crystal-free radios, and real-world applications. David has been designing wireless sensor systems for nearly two decades, specializing in integrated circuits since his PhD in EECS from UC Berkeley. During his PhD he pioneered a fully integrated wireless sensor mote requiring only a battery and antenna to form an independent sensor system including integration with a harmful gas sensor. Prior to his PhD he focused on PCB-based sensor system design for oceanographic applications. He earned a BS and MS in EE from University of Washington, designed and fielded coastal sensor systems at Sandia National Labs, served as electrical engineer and pilot for underwater robots deployed to Antarctica, designed wearable health monitors, and taught embedded systems. David is a former consultant at Exponent Inc. where he advised a variety of technology and legal clients on the design and failure modes of integrated circuits, consumer and industrial electronics, and medical devices. David is a tenure-track ECE faculty member at Portland State University where he teaches and directs the WEST research group in the areas of integrated circuits and wireless environmental sensor systems.
Think Circuits Engineers reposted this
0 to 1 builder developing applied and theoretical ML algorithms on hardware, deployed at scale.
Think Circuits Engineers reposted this
0 to 1 builder developing applied and theoretical ML algorithms on hardware, deployed at scale.
Think Circuits Engineers reposted this
0 to 1 builder developing applied and theoretical ML algorithms on hardware, deployed at scale.
In previous posts, we explored the pros and cons of commercial off the shelf (COTS) and semi-custom development. That said, for maximum design freedom, limited only by the laws of physics, fully custom development is the way to go. A fully custom design starts from “first principles”, that is a description of the problem in physics or mathematical terms, and designs a solution at a very detailed level. For example, at Fitbit, as pioneers of wearable heart rate tracking technology, we needed to understand physical, electrical, and biological properties of the system to design a custom mechanical, optical, electrical and software system to accurately measure a person’s heart rate for many days on a battery charge. Fully custom design can be much more expensive, have a long time to market, and higher supply chain and technical risk compared to the other options. We would also encounter a high non-recurring engineering (NRE), which at low quantities can be a roadblock. However, the benefits of fully custom design can be priceless, as often this results in completely unique and differentiable IP that is highly competitive. For instance, at Fitbit I co-invented three different patents on PPG sensing architectures. In fully custom design, we also have complete design freedom to make the product vision come true, given enough time and budget to execute it. Often, a good thought exercise is to start from “first-principles” and imagine what a fully custom design would look like with no limitations. Then, we can look on the market for any COTS components that would satisfy some or part of the design and consider the impacts of switching them out, such as reduced cost & schedule. Ultimately, this can lead to having the benefits of a semi-custom solution while retaining the capabilities and flexibility of the fully custom design. That’s it for this discussion, follow me for more upcoming insights, and DM me if you have a specific problem you’re dealing with. Thanks!